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» Optimizing for parallelism and data locality
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ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 8 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
KDD
2009
ACM
209views Data Mining» more  KDD 2009»
16 years 1 months ago
Collective annotation of Wikipedia entities in web text
To take the first step beyond keyword-based search toward entity-based search, suitable token spans ("spots") on documents must be identified as references to real-world...
Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, ...
INFOCOM
2007
IEEE
15 years 7 months ago
Self-Adaptive On Demand Geographic Routing Protocols for Mobile Ad-hoc Networks
— It has been a big challenge to develop routing protocol that can meet different application needs and optimize routing paths according to the topology change in mobile ad hoc n...
X. Xiang, Z. Zhou, X. Wang
IPPS
2007
IEEE
15 years 7 months ago
Load Miss Prediction - Exploiting Power Performance Trade-offs
— Modern CPUs operate at GHz frequencies, but the latencies of memory accesses are still relatively large, in the order of hundreds of cycles. Deeper cache hierarchies with large...
Konrad Malkowski, Greg M. Link, Padma Raghavan, Ma...
EUROPAR
2004
Springer
15 years 6 months ago
Large-Scale Deployment in P2P Experiments Using the JXTA Distributed Framework
The interesting properties of P2P systems (high availability despite peer volatility, support for heterogeneous architectures, high scalability, etc.) make them attractive for dist...
Gabriel Antoniu, Luc Bougé, Mathieu Jan, S&...